114 citations · 212 across the 18 of their papers we have counts for
22 papers
Voxel-Based Point Cloud Localization for Smart Spaces Management
F. S. Mortazavi, O. Shkedova, U. Feuerhake +2
This paper proposes a voxel-based approach for creating a digital twin of an urban environment that is capable of efficiently managing smart spaces. The paper explains the registra…
LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints
Mengmeng Liu, Hao Cheng, Lin Chen +5
Trajectory prediction for autonomous driving must continuously reason the motion stochasticity of road agents and comply with scene constraints. Existing methods typically rely on…
ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction
Weicheng Zhang, Hao Cheng, Fatema T. Johora +1
Predicting trajectories of pedestrians based on goal information in highly interactive scenes is a crucial step toward Intelligent Transportation Systems and Autonomous Driving. Th…
Generating Evidential BEV Maps in Continuous Driving Space
Yunshuang Yuan, Hao Cheng, Michael Ying Yang +1
Safety is critical for autonomous driving, and one aspect of improving safety is to accurately capture the uncertainties of the perception system, especially knowing the unknown. D…
Gaussian Process Mapping of Uncertain Building Models with GMM as Prior
Qianqian Zou, Claus Brenner, Monika Sester
Mapping with uncertainty representation is required in many research domains, especially for localization. Although there are many investigations regarding the uncertainty of the p…
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model
Hao Cheng, Mengmeng Liu, Lin Chen +3
Trajectory prediction has been a long-standing problem in intelligent systems like autonomous driving and robot navigation. Models trained on large-scale benchmarks have made signi…
Leveraging Dynamic Objects for Relative Localization Correction in a Connected Autonomous Vehicle Network
Yunshuang Yuan, Monika Sester
High-accurate localization is crucial for the safety and reliability of autonomous driving, especially for the information fusion of collective perception that aims to further impr…
Improving Pedestrian Priority via Grouping and Virtual Lanes
Yao Li, Vinu Kamalasanan, Mariana Batista +1
The shared space design is applied in urban streets to support barrier-free movement and integrate traffic participants (such as pedestrians, cyclists and vehicles) into a common r…
An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival
Sören Schleibaum, Jörg P. Müller, Monika Sester
To compare alternative taxi schedules and to compute them, as well as to provide insights into an upcoming taxi trip to drivers and passengers, the duration of a trip or its Estima…
Determination of building flood risk maps from LiDAR mobile mapping data
Yu Feng, Qing Xiao, Claus Brenner +4
With increasing urbanization, flooding is a major challenge for many cities today. Based on forecast precipitation, topography, and pipe networks, flood simulations can provide ear…
Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving
Yunshuang Yuan, Hao Cheng, Monika Sester
Sharing collective perception messages (CPM) between vehicles is investigated to decrease occlusions so as to improve the perception accuracy and safety of autonomous driving. Howe…
Improving Take-over Situation by Active Communication
Monika Sester, Mark Vollrath, Hao Cheng
In this short paper an idea is sketched, how to support drivers of an autonomous vehicle in taking back control of the vehicle after a longer section of autonomous cruising. The hy…
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention
Hao Cheng, Li Feng, Hailong Liu +3
Intersections where vehicles are permitted to turn and interact with vulnerable road users (VRUs) like pedestrians and cyclists are among some of the most challenging locations for…
Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users
Yang Li, Hao Cheng, Zhe Zeng +2
In comparison to conventional traffic designs, shared spaces promote a more pleasant urban environment with slower motorized movement, smoother traffic, and less congestion. In the…
Exploring Dynamic Context for Multi-path Trajectory Prediction
Hao Cheng, Wentong Liao, Xuejiao Tang +3
To accurately predict future positions of different agents in traffic scenarios is crucial for safely deploying intelligent autonomous systems in the real-world environment. Howeve…
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: a case study of Hurricane Harvey
Yu Feng, Claus Brenner, Monika Sester
With increasing urbanization, in recent years there has been a growing interest and need in monitoring and analyzing urban flood events. Social media, as a new data source, can pro…
AMENet: Attentive Maps Encoder Network for Trajectory Prediction
Hao Cheng, Wentong Liao, Michael Ying Yang +2
Trajectory prediction is critical for applications of planning safe future movements and remains challenging even for the next few seconds in urban mixed traffic. How an agent move…
MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic
Hao Cheng, Wentong Liao, Michael Ying Yang +2
Trajectory prediction in urban mixed-traffic zones (a.k.a. shared spaces) is critical for many intelligent transportation systems, such as intent detection for autonomous driving.…
Learning about spatial inequalities: Capturing the heterogeneity in the urban environment
J. Siqueira-Gay, M. A. Giannotti, M. Sester
Transportation systems can be conceptualized as an instrument of spreading people and resources over the territory, playing an important role in developing sustainable cities. The…
Location- and time-dependent meeting point recommendations for shared interurban rides
Paul Czioska, Aleksandar Trifunović, Sophie Dennisen +1
Drivers offering spare seats in their vehicles on long-distance (interurban) trips often have to pick up or drop off passengers in cities en route. In that case it is necessary to…
Real-world Meeting Points for Shared Demand-Responsive Transportation Systems
Paul Czioska, Ronny Kutadinata, Aleksandar Trifunović +3
While conventional shared demand-responsive transportation (SDRT) systems mostly operate on a door-to-door policy, the usage of meeting points for the pick-up and drop-off of user…
Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges
S. Li, S. Dragicevic, F. Anton +8
Big data has now become a strong focus of global interest that is increasingly attracting the attention of academia, industry, government and other organizations. Big data can be s…